: Published as ហេរី ផោតធ័រ និង សិលាទេព (Heri Phaotthr ning Selatep).
The Harry Potter series has captivated readers worldwide, and its magical world has been translated into numerous languages, including Khmer. However, the availability of high-quality text-to-speech (TTS) systems for Khmer language is limited. This paper proposes a verified Khmer language model for Harry Potter TTS synthesis, leveraging the popular "Harry Potter" dataset. Our approach involves developing a deep learning-based TTS system using a Khmer language model, which is trained and verified using a dataset of Khmer-translated Harry Potter books. Experimental results show that our proposed system achieves high-quality speech synthesis, outperforming existing Khmer TTS systems. harry+potter+speak+khmer+verified